Multi-Modal Data Fusion for Person Authentication using SVM
| Type of publication: | Conference paper |
| Citation: | sby98c |
| Booktitle: | Proc. Second International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA'99) |
| Year: | 1999 |
| Crossref: | sby98a: |
| Abstract: | In the context of multi-modal person authentication, a set of experts (face recognizer, speaker recognizer, etc. ) give their opinion about the identity of an individual. The opinions of the experts can be combined to form a final decision (rejecting or accepting the claim). We show that the final decision is a binary classification problem and propose to solve it by a Support Vector Machine (SVM). We compare our approach with other proposed methods for an identical verification task and show that it leads to considerably higher performance. |
| Userfields: | ipdinar={1998}, ipdmembership={vision}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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